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A Scientometric Study On Development Of Management Sciences

Posted on:2009-03-24Degree:DoctorType:Dissertation
Country:ChinaCandidate:H J YueFull Text:PDF
GTID:1119360302489970Subject:Management Science and Engineering
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Management has been 100 years of history in America. There was only more than 20 years in China. it is a certain gap between China's management and internation management in scientific research and management practices. It is important to investigate the whole situation of management to promote of China's management. Based on the integrated methods of scientometrics and social network analysis, the author try to reveal the structure and evolution in the field of internation management science and representative scientists, the structure and evolution, communication of discipline knowledge, age structure of author, sciences foundation in the field of China management sciences.From the present structure and evolution of the key words , the internation management science has developed a core set of academic language. From the structure and evolution of highly-cited authors of relations, author group of organization theory research and organization behavior have a respective tight link, but author group of strategic management is more decentralized.From the present structure and evolution of key words, Chinese and foreign management of scientific research focused on distinctly different. Management science of China mainly centered on the changes in China's system changed, the scope of the research object is extensive.The journal co-citation network does not have a strong cohesion. Journals can be roughly classified as four categories.An examination of a management science community was discussed by using social network analyses on the citation network. It show that the exchange of knowledge of management science journals in the network density increases and community was more direct and open. The network has maintained relative stability, but it also has some obvious changes. These journals can be considered to be the "invisible college" that has core members. Four disciplines of management science citation patterns are examined, it show that the decision-making system journals is knowledge sources that other management field of science journals absorb. Interdisciplinary communication between management science and 10 social science fields are also examined, results showed the central position of economics is apparent in this citation network.The age structure of the authors of management papers is the unimodal age distribution with higher peak of young men, proportion of first author of below 35-year-old make up to 50% and could keep stable. Author of students (especially doctoral candidates) are major groups the management of scientific papers published in.The younger trends of research personnel are due to increasing proportion of students. For two-author collaboration, Younger-Middle-ager and Younger-Elder are the predominant age structure; For three-author collaboration, Middle-ager -Younger-Younger and Younger-Middle-ager-Younger are the most important age structures. Tutor-student are main patterns of scientific collaboration in management.The similarity and difference of regional distributions between management science publication and NSFC's management science fund are compared. The similar distribution rule is found, but there is also micro-level incoordination. The distribution structure and trends of age, professional title and academic degree are compared between investigators of management projects of NSFC and personnel of management research. The results showed the investigators of management projects of NSFC are tending to younger, high professional title and high degree, at the same time, the distribution structure and trends of age, professional title and academic degree of personnel of management research are changing. The analysis revealed that the trend in investigators of management projects of NSFC was accord with personnel of management research.
Keywords/Search Tags:Management sciences, Co-occurrence analysis, Social network analysis, Knowledge communication, Age structure, Management sciences fund
PDF Full Text Request
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